Attention Aware Deep Learning Approaches for an Efficient Stress Classification Model.

In today's world, stress is a major factor for various diseases in modern societies which affects the day-to-day activities of human beings. The measurement of stress is a contributing factor for governments and societies that impacts the quality of daily lives. The strategy of stress monitoring systems requires an accurate stress classification technique which is identified via the reactions of the body to regulate itself to changes within the environment through mental and emotional responses. Therefore, this research proposed a novel deep learning approach for the stress classification system. In this paper, we presented an Enhanced Long Short-Term Memory(E-LSTM) based on the feature attention mechanism that focuses on determining and categorizing the stress polarity using sequential modeling and word-feature seizing. The proposed approach integrates pre-feature attention in E-LSTM to identify the complicated relationship and extract the keywords through an attention layer for stress classification. This research has been evaluated using a selected dataset accessed from the sixth Korea National Health and Nutrition Examination Survey conducted from 2013 to 2015 (KNHANES VI) to analyze health-related stress data. Statistical performance of the developed approach was analyzed based on the nine features of stress detection, and we compared the effectiveness of the developed approach with other different stress classification approaches. The experimental results shown that the developed approach obtained accuracy, precision, recall and a F1-score of 75.54%, 74.26%, 72.99% and 74.58%, respectively. The feature attention mechanism-based E-LSTM approach demonstrated superior performance in stress detection classification when compared to other classification methods including naïve Bayesian, SVM, deep belief network, and standard LSTM. The results of this study demonstrated the efficiency of the proposed approach in accurately classifying stress detection, particularly in stress monitoring systems where it is expected to be effective for stress prediction.

Impact of tourism development upon environmental sustainability: a suggested framework for sustainable ecotourism.

The empirical research investigated the relationship between tourism development and environmental suitability to propose a framework for sustainable ecotourism. The framework suggested a balance between business and environmental interests in maintaining an ecological system with the moderating help of government support and policy interventions. The study population encompasses tourism stakeholders, including tourists, representatives from local communities, members of civil administration, hoteliers, and tour operators serving the areas. A total of 650 questionnaires were distributed to respondents, along with a brief description of key study variables to develop a better understanding. After verifying the instrument's reliability and validity, data analysis was conducted via hierarchical regression. The study findings revealed that a substantial number of people perceive socio-economic benefits, including employment and business openings, infrastructure development from tourism development, and growth. However, the state of the natural and environmental capital was found to be gradually degrading. Alongside the social environment, social vulnerability is reported due to the overutilization of land, intrusion from external cultures, and pollution in air and water due to traffic congestion, accumulation of solid waste, sewage, and carbon emissions. The study suggested a model framework for the development of sustained ecotourism, including supportive government policy interventions to ensure effective conservation of environmental and natural resources without compromising the economic viability and social well-beings of the locals. Furthermore, the variables and the constructs researched can be replicated to other destinations to seek valuable inputs for sustainable destination management elsewhere.

The effects of alendronate treatment in the diagnosis and management of proximal femur osteoporosis: A real-life scenario.

Currently the increased focus is being given to reforming osteoporosis regimens. Optimizing the evaluation of pharmacological intervention occurs once a medicine has been approved. There is literature available on the use of alendronate in bone loss. The current study focuses on the efficacy assessment of alendronate on proximal femur bone density loss. Current work was carried out to analyze the data of the BMD. The study comprised of females who had received at least six months of Alendronate (70mg/week) for proximal femur osteoporosis. SPSS version-22 was used for analysis and a comparative change was regarded therapeutically significant. The reliability of the research was ensured by reporting cover-up and withdrawals. Among all the study participants who received Alendronate therapy the median height of females in centimeters (cms) was 155 (IQR=16) and the median weight was 55.5 Kilograms (Kgs) (IQR=15). The mean age of the population was 50.59±14.714. The study found the median T-score before therapy was -2.9 (IQR=0.7) and the median T-score after therapy was -2.51(IQR=1). The estimated difference of mean rank was statistically significant for pre- and post-therapy T-score (p=0.008). Hence, the results of this study indicate an improvement in BMD as a result of therapy. Alendronate at 70 mg per week is effective in reducing hip osteoporosis.

Vertebral spine osteoporosis treatment efficacy in local population: A clinical study.

In Pakistani population the prevalence of Calcium and vitamin D deficiency is at alarming rate. Previous studies show that globally vertebral osteoporosis is most commonly recognized site causing deterioration to personal life satisfaction. It is very unfortunate that in Pakistan ample amount of research work has not been done in the area, consequently, information on rate of vertebral osteoporosis & fracture are rare in Pakistan. There is no reduction in T-score on supplementation with calcium and vitamin D3 administration. There is reduction in T-score on supplementation with calcium and vitamin D3 administration. The prime objective of the current work was to determine vertebral spine osteoporosis treatment efficacy in local population. This is an intervention experimental study with no control. The study population was selected from the local community; consisting of individuals with vertebral spine osteoporosis, further they were followed for up to 6 months. Data was analyzed by SPSS-22. Tabs Chewable: Calcium: 1250 mg, Cholecalciferol: 125 IU, BD/Day was advised. The mean T-score before and after treatment were recorded as; Mean ±S.D: 2.890 ±1.7217 and Mean ±S.D: -2.456±0.8064 respectively. The findings of the current work do not provide support for routine supplementation with calcium and vitamin D3 orally for osteoporosis.

Blind Channel and Data Estimation Using Fuzzy Logic-Empowered Opposite Learning-Based Mutant Particle Swarm Optimization.

Multiple-input and multiple-output (MIMO) technology is one of the latest technologies to enhance the capacity of the channel as well as the service quality of the communication system. By using the MIMO technology at the physical layer, the estimation of the data and the channel is performed based on the principle of maximum likelihood. For this purpose, the continuous and discrete fuzzy logic-empowered opposite learning-based mutant particle swarm optimization (FL-OLMPSO) algorithm is used over the Rayleigh fading channel in three levels. The data and the channel populations are prepared during the first level of the algorithm, while the channel parameters are estimated in the second level of the algorithm by using the continuous FL-OLMPSO. After determining the channel parameters, the transmitted symbols are evaluated in the 3rd level of the algorithm by using the channel parameters along with the discrete FL-OLMPSO. To enhance the convergence rate of the FL-OLMPSO algorithm, the velocity factor is updated using fuzzy logic. In this article, two variants, FL-total OLMPSO (FL-TOLMPSO) and FL-partial OLMPSO (FL-POLMPSO) of FL-OLMPSO, are proposed. The simulation results of proposed techniques show desirable results regarding MMCE, MMSE, and BER as compared to conventional opposite learning mutant PSO (TOLMPSO and POLMPSO) techniques.

When and which employees feel obliged: a personality perspective of how organizational identification develops / Cuándo están agradecidos los empleados y a qué aspectos: el desarrollo de la identificación con la organización desde la perspectiva de la personalidad

This paper examines the indirect effect of interpersonal and informational justice on organizational identification through psychological contract fulfillment across different levels of equity sensitivity. The data were collected using self-reported measures from 656 permanent employees working in five commercial banks in Pakistan. The statistical results of the study confirmed that the indirect effect of interpersonal and informational justice on organizational identification through psychological contract fulfillment is significant. However, the statistical results of the study also demonstrated that the indirect effect of interpersonal and informational justice does not differ across different levels of equity sensitivity. This study offers some implications for managers to maintain an effective employment relationship with the employees inside the organizations (AU)

Este artículo analiza el efecto indirecto de la justicia interpersonal e informativa en la identificación con la organización a través del cumplimiento del contrato psicológico en los diferentes niveles de sensibilidad a la equidad. Por medio de medidas de autoinforme se recogieron datos de 656 empleados fijos de cinco bancos comerciales de Paquistán. Los resultados estadísticos del estudio confirman que es significativo el efecto indirecto de la justicia interpersonal e informativa en la identificación con la organización a través del cumplimiento del contrato psicológico. No obstante, dichos resultados demuestran también que el efecto indirecto de la justicia interpersonal e informativa no es distinto en los distintos niveles de sensibilidad a la equidad. El estudio propone algunas implicaciones para que los directivos mantengan una relación eficaz de empleo con los empleados en el seno de las organizaciones (AU)